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From Web Scraping to Machine Learning: Approaches and Tools for Social Network Mining

by Romal Bharatkumar Patel
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 46
Year of Publication: 2023
Authors: Romal Bharatkumar Patel
10.5120/ijca2023922573

Romal Bharatkumar Patel . From Web Scraping to Machine Learning: Approaches and Tools for Social Network Mining. International Journal of Computer Applications. 184, 46 ( Feb 2023), 35-36. DOI=10.5120/ijca2023922573

@article{ 10.5120/ijca2023922573,
author = { Romal Bharatkumar Patel },
title = { From Web Scraping to Machine Learning: Approaches and Tools for Social Network Mining },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2023 },
volume = { 184 },
number = { 46 },
month = { Feb },
year = { 2023 },
issn = { 0975-8887 },
pages = { 35-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number46/32617-2023922573/ },
doi = { 10.5120/ijca2023922573 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:24:09.032493+05:30
%A Romal Bharatkumar Patel
%T From Web Scraping to Machine Learning: Approaches and Tools for Social Network Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 46
%P 35-36
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Social network mining is the process of extracting, analyzing, and modeling social networks from online platforms. It has become an important tool for understanding the structure and dynamics of online communities and for predicting the spread of information, influence, and behaviors. In this article, we review the background, methods, and applications of social network mining, with a focus on the most common techniques and approaches. We also discuss some of the challenges and ethical issues related to social network mining and suggest directions for future research.

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Index Terms

Computer Science
Information Sciences

Keywords

Social network mining online platform node edge structure dynamics information spread influence centrality.

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